IP Library Granted Patent US 7,384,397
Granted Patent B2
US 7,384,397 · App. 10/751,327 · Granted Jun 10, 2008

System and method for sensor recalibration

Assignee: Medtronic Minimed, Inc.
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Quick Facts
Patent No.
US 7,384,397
App. No.
10/751,327
Granted
Jun 10, 2008
Kind
B2
Abstract

A system and method for calibrating a sensor. The method may include, without limitation, compiling an array of data relating to the sensor; adjusting a sensor parameter a first time based on data in the array; adjusting a curve representing the sensor output based on data in the array; and adjusting the sensor parameter a second time based on data in the array. The sensor may be an in vivo glucose sensor and the sensor parameter adjusted may be a current. The array may include historical as well as recent data, such as, for example, blood glucose readings and sensor electrode readings.

Claims (37)

1. A method for adjusting a calibrating curve for a sensor calibration comprising:

compiling a calibration array of data values relating to the sensor;

generating a calibration curve;

adjusting a nominal output current of the sensor based on data in the calibration array;

adjusting the calibration curve based on the adjusted value of the nominal output current;

wherein adjusting the calibration curve representing the sensor output further comprises performing a linear regression on data in the calibration array; and

wherein a result of the linear regression determines a first calibration point.

2. The method of claim 1 , wherein compiling the calibration array comprises compiling historical data.

3. The method of claim 2 , wherein the historical data comprises measured blood glucose readings.

4. The method of claim 1 , wherein compiling the calibration array comprises compiling recent data.

5. The method of claim 4 , wherein the recent data comprises electrode readings.

6. The method of claim 5 , wherein the electrode readings comprise glucose electrode readings and oxygen electrode readings.

7. The method of claim 4 , wherein the recent data comprises measured blood glucose concentrations.

8. The method of claim 7 , wherein the nominal output current is a nominal glucose current.

9. The method of claim 8 , wherein the nominal glucose current is adjusted based on a shift of measured data points with respect to blood glucose readings.

10. The method of claim 9 , wherein the shift is a mean shift.

11. The method of claim 1 , wherein the first calibration point is used to determine a plurality of calibration points.

12. The method of claim 1 , wherein adjusting the calibration curve representing the sensor output comprises adjusting the calibration curve in a piecewise linear fashion.

13. The method of claim 12 , wherein a number of pieces in the piecewise linear adjustment is five.

14. The method of claim 1 , further comprising compiling a second calibration array of data values relating to the sensor; adjusting the nominal output current of the sensor a second time based on data in the second calibration array.

15. The method of claim 14 , wherein the nominal output current is a nominal glucose current.

16. The method of claim 15 , wherein the nominal glucose current is adjusted based on a shift of measured data points with respect to blood glucose readings.

17. The method of claim 16 , wherein the shift is a mean shift.

18. The method of claim 1 , further comprising establishing a new sensor output based on the adjusted calibration curve and the twice adjusted nominal output current.

19. The method of claim 1 , wherein generating a calibration curve comprises generating a calibration curve based on a priori empirical values, and wherein the method further comprises:

compiling a plurality of data values from the sensor;

compiling independent historical values of a parameter sensed by the sensor; and

reconciling the plurality of data values from the sensor to the calibration curve using the independent historical values.

20. The method of claim 19 , wherein the sensor is a glucose sensor.

21. The method of claim 19 , wherein generating a calibration curve comprises compiling a priori empirical values of sensors similar to the sensor being calibrated.

22. The method of claim 19 , wherein generating a calibration curve comprises generating a calibration curve representing a sensor having a plurality of phases.

23. The method of claim 19 , wherein the independent historical values of a parameter sensed by the sensor are metered blood glucose values.

24. The method of claim 19 , wherein reconciling the plurality of data values comprises adjusting an output current of the sensor.

25. The method of claim 24 , wherein the output current of the sensor is a nominal glucose current.

26. The method of claim 25 , wherein the nominal glucose current is adjusted based on a shift of the plurality of data values from the sensor with respect to metered blood glucose values.

27. The method of claim 19 , wherein reconciling the plurality of data values comprises performing a linear regression on the plurality of data values.

28. The method of claim 19 , wherein reconciling the plurality of data values is performed in a piecewise linear fashion.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 7, 2004
From: ZHANG, YANAN; WANG, LU; SHAH, RAJIV
To: MEDTRONIC MINIMED, INC.
Reel/Frame 015411/0472 →
Continuity (1)
Related Publication 20050143636A1 · Jun 30, 2005